Projecte llegit
Títol: Automated design of planar structures with optimized radiation or scattering properties
Estudiants que han llegit aquest projecte:
 TAPIA FOLCH, NÚRIA (data lectura: 27102022)
 Cerca aquest projecte a Bibliotècnica
 TAPIA FOLCH, NÚRIA (data lectura: 27102022)
 Cerca aquest projecte a Bibliotècnica
Director/a: ÚBEDA FARRE, EDUARD
Departament: TSC
Títol: Automated design of planar structures with optimized radiation or scattering properties
Data inici oferta: 10022022 Data finalització oferta: 10102022
Estudis d'assignació del projecte:
 DG ENG AERO/SIS TEL
Tipus: Individual  
Lloc de realització: EETAC  
Paraules clau:  
Genetic Algorithms; Discretization; Radar Cross Section  
Descripció del contingut i pla d'activitats:  
The computational design of planar perfectly conducting structures with improved Radar Cross Section signature has received special attention over the last decade. Thanks to these numerical tools, improved designs of car plates in the automotive industry or Radar antennas and radomes in the aviation industry have been obtained.
These schemes are normally based on the iterative and intensive search of improved designs computed with numerical scattering analysis tools. A bruteforce search process of the improved design becomes time consuming and computationally expensive, whereby a global optimization tool that develops an intelligent search of the solution is normally implemented. In practice, at each iterative step of the design process, the new structure under analysis needs to be meshed and analyzed anew, which is also computationally demanding. In this project, the ElectricField Integral Equation (EFIE) is discretized to compute the scattering properties of perfectly conducting planar structures, meshed with triangular or quadrangular meshes. As global optimizing tool to lead the search of the solution the Genetic Algorithm strategy is proposed. The conventional designschemes requires to remesh the design at each step to ensure that adjacent facets of the mesh share one single edge (i.e. conformal mesh). Recently, it has been proposed an EFIE discretization that allows the accurate analysis of perfectly conducting structures through nonconformal meshes, where adjacent facets do not require a single edge in common. This is advantageous in practice because each mesh at each iterative step can be formed by combining small meshentities defined beforehand, with no need to impose conformality across the edges arising from the discretization. This project proposes to implement such novel strategy in the analysis of perfectly conducting planar structures. 

Overview (resum en anglès):  
The visibility that an object has with respect to a Radar is called the Radar Cross Section (RCS), and it is obtained from the electromagnetic dispersion in the far field when the object is struck by an electromagnetic plane wave. In order to be able to calculate the RCS of an arbitrary object, the surface of the object is meshed and basis functions of current discretization are applied, from which an approximation of the RCS is obtained. Typically, the basis functions adopted in triangular meshes are the RWG functions.
The design and synthesis of new structures with enhanced electromagnetic signature requires on the one hand the meshing and calculation of the RCS for many possible candidates, and on the other, the choice of an itinerary of intermediate solutions that leads to an almost optimal solution. In practice, this procedure is computationally expensive. Recently, a procedure has been developed that streamlines the analysis of the electromagnetic scattering of planar conductive structures. In this work, this tool has been used to efficiently search for a solution with an improved RCS. This tool, which we call the thicksurface approach, makes it possible to obtain the mesh of any complex planar structure from the concatenation and displacement of the known mesh of a fundamental basic cell. This is an advantage over traditional methods, which required remeshing for any composite planar structure. The objective of this work is to find the optimal distribution that the conducting planar structure should have so that its RCS becomes maximum. For this purpose, a matrix is used to define where we want the initial cell to be cloned. Using genetic algorithms, an example of a stochastic optimization algorithm, the most suitable distribution of this position matrix to have the maximum RCS is searched for and found. In this work, the optimization is carried out through the Matlab program, where the necessary code is written to be able to carry out the simulations. 